Sessions tagged with 'cloud'

Cloudera's Introduction to Hadoop provides a solid foundation for those seeking to understand large scale data
processing with MapReduce and Hadoop. This session is appropriate for attendees who need to use Hadoop to
analyze data with Hadoop's MapReduce paradigm.

If cloud computing is one natural conclusion of open source business models, what kind of cloud ecosystem would best support open source as a whole? Join James Urquhart, author of the "Wisdom of Clouds" blog on the CNET blog network, as he explores the technology and business models that could drive the open source opportunities of tomorrow--and a few that won't.

One of the major concerns around cloud computing is lock-in but can open APIs solve this problem. Are they enough to create portability and interoperability between providers? Can Open APIs mean that a proprietary platform can be a friend to the open source world?

This tutorial will teach how to automate infrastructures using Chef, including real examples of application deployment and system integration of infrastructure components such as load balancers, application servers and monitoring systems.

The purpose of this session is to demonstrate Microsoft's commitment to openness and interoperability by practical Cloud Application development scenarios on Windows Azure using Open Source Technologies and Languages.

This tutorial will provide an in-depth tutorial on various forms of NOSQL (NotOnlySQL) datastores (key/value, data structure store, document store and wide column stores) for working with semi- structured data. The data ranges from web logs to social and knowledge graphs to configuration data stores for cloud infrastructures and other domains.

The Simple Cloud API is a project sponsored by several leading vendors (Zend, Go Grid, IBM, Microsoft, Nirvanix and Rackspace). This session will demonstrate how to use open-source implementations of the API to work with multiple cloud vendors.

Jaspersoft’s open source business intelligence is the world’s most widely used BI software, with more than 11 million product downloads worldwide and more than 12,000 commercial customers in 100 countries. Jaspersoft provides a first in class multi-tenant BI environment while providing a common platform for on-premise, virtualized, SaaS and Cloud deployments.

In this track we explore the topic of cloud computing, its past, the future and the interaction with open source. The purpose of this track is to give the audience a sound understanding of the issues around cloud computing, to sort fact from fiction, to dispel some of the myths around cloud and to provide a common framework to understand what is happening in our industry.

There are a number of themes that have become very visible in recent years - Service Oriented Architecture, Cloud Computing and Enterprise 2.0. Are these just isolated phenomenon, or are they all connected?

In the cloud world new paradigms and memes are appearing :- the rise of the "DevOps", "Infrastructure == Code" and "Design for Failure". Given that cloud is fundamentally about volume operations of a commoditized activity, operations become a key battleground for competitive efficiency. Automation and orchestration appear key areas for the future development of the cloud.

Cloudy with a chance of revolution. Not since the Homebrew Computer Club has the industry seen such a climate of open innovation. The increasing sophistication of the mobile platforms such as WebOS, MeeGo, Android, Symbian plugged into the growing ubiquity of the Cloud offers an unprecedented opportunity for developers to build and deliver online services that could only be glimpsed 5 years ago.

India’s audacious goal to educate 500 million people by 2022 can only be met using an open source approach. We will our experience building and delivering a peer-based, self-paced, community-driven 21st century learning environment using open source and freely available content, sustained by a micro-finance model that completely flattens the hierarchical approach strictly embraced in India.

Since Douglas Parkhill first introduced us to the idea of competitive markets of compute utilities back in the 1960s, the question has always been when would this occur? However, is a competitive marketplace in the interests of everyone and do providers want easy switching? We examine the issue of standards and portability in the cloud.

Efficient IT infrastructures must hold to several basic properties. Changes must be tracked. Automation must be maximized. Compliance against corporate standards must be preserved. Especially in days of limited resources, how can software help solve this problem? In this presentation, we'll show how Puppet can automate, enforce, and ensure sanity in the modern datacenter.

If you find yourself in a position where you need to provide internally focused recycable IT resources and services, consider building our a private cloud using open source software. This discussion will outline the opportunities and challenges observed during our implementation at the AT&T Labs facility in Austin, TX.

Eucalyptus is an open-source software platform that implements IaaS-style cloud computing using the existing Linux-based infrastructure found in the modern data center. It is interface compatible with Amazon's AWS making it possible to move workloads between AWS and the data center without modifying the code that implements them.

Did you know that CPAN comes with a free QA team? CPAN Testers is a distributed, grass-roots project with over 6.5 million test reports. This talk describes how the project benefits Perl developers and offers four important practices for any large-scale, volunteer QA effort

This session will help you better understand Containers technology and how it compares to hypervisor solutions. You’ll also learn about Parallels commercial management tools for Containers and clouds with open command line and XML APIs that will show how to bring an infrastructure cloud solution to life.

Egnyte started as a cloud storage provider, but our customers demanded
that we provide an easy way to synchronize their local data with the
cloud because they wanted to retain control of their data. Come learn
how we solved some of the problems of automatic bidirectional
synchronization using a CherryPy/Cheetah Python client that runs on Mac,
Windows, and Linux.

Google App Engine is an development & hosting platform that lets you build & deploy web applications on Google's high-traffic infrastructure. You only need to upload your code: no more worrying about machines, storage, scalability! This tutorial introduces attendees to its architecture & various service APIs. In the hands-on lab, you'll build+deploy a real app to the cloud using Python in minutes!

Cloudera's Introduction to Hadoop provides a solid foundation for those seeking to understand large scale data
processing with MapReduce and Hadoop. This session is appropriate for attendees who are new to Hadoop and
are seeking to understand where Hadoop is appropriate and how it fits with existing systems.

This session examines the challenges that face enterprises in adopting cloud computing. Is it just a technology problem or are there management considerations? Are enterprises adopted cloud, is the cloud ready for them and are they ready for it?

Data is exploding all over the internet. There is immense knowledge within this huge volume of information that needs to be unlocked. We need to Mine patterns, Find clusters, Organize content and Predict the future. In this talk, we will show what these methods are and how the new Apache Mahout project is attempting to solve these problems in a scalable way by utilizing Hadoop.

User-generated content has become an integral part of NYTimes.com. And where there's a community, there are scaling issues. At The Times, we recently moved our entire community platform from our own internal hardware to the Amazon EC2 infrastructure. Join us as we discuss our adventures in the cloud so far. Topics will include cloud management, auto-scaling and deployment on the cloud.

The Open Cloud BoF is an opportunity to help define (and ultimately, implement) the Open Cloud, according to the Open Cloud Principles, as outlined here - http://opencloud.googlecode.com/svn/trunk/oci/ocp/open-cloud-principles.html
We want to get developer, vendor, and hacker input on how to build momentum around the Open Cloud Initiative.

The cloud is all about more connectivity – and interoperability is at the heart of that. Organizations around the world are looking at opportunities to leverage a new wave of cloud technologies. New data sets. New computing power.

Life science research, including molecular modeling, bioinformatics, proteomics and genomics are ripe with examples of open-source technology. In this presentation, Stowe will present the use of open software in managing state-of-the-art high performance computing (HPC) environments and provisioning auto-configuring software stacks in internal clouds and Amazon EC2.

The evolution of cloud computing promises significant efficiency gains and cost savings over today’s distributed architecture model. Many IT leaders, however, face tough choices about what to deploy to evolve their data center while, at the same time, leveraging existing assets and managing to a flat or often declining budget.

Ruby apps can now be deployed to Google App Engine thanks to JRuby. New app instances spin-up on demand so there is no need to provision hardware but each new JRuby runtime can take several seconds. Mirah (formerly Duby) is a new language with Ruby-inspired syntax that compiles directly to Java bytecode. Duby is compelling for App Engine development because new instances can spin-up in a second.

One of the hottest topics in cloud is security. But is much of the cloud security debate simply FUD or are there some real consequences of this change? How does cloud change traditional security models, can they they be re-used or is it back to the drawing board?

In today’s computing world, it can often feel like we are drowning in
wave after wave of new trends. This sea of concepts are simply the
evolution of our industry from a product to a service based economy.
This talk will examine the evolution of technology, the management
challenges this brings and the common myths that surround the concept of
cloud computing.

The cloud is surrounded by many claims but how many of these stand up to scrutiny. How many are based on fact or are simply wishful thinking? Is cloud computing green, will it save you money, will it lead to faster rates of innovation? We explore this subject and look at the dirty little secrets that no-one wants to tell you.

Many people view topics like Map/Reduce and queue systems as advanced concepts that require in-depth knowledge and time consuming software setup. Gearman is changing all that by making this barrier to entry as low as possible with an open source, distributed job queuing system. This session dives into advanced use cases that demonstrate the power and flexibility of distributed architectures.

The role of cloud computing in government IT - an introduction to the large G-Cloud and App Store project under way in the UK; what the UK public sector hopes to gain from a cloud approach, an overview of the proposed technical architecture, and how to deliver the benefits of cloud while still meeting government's stringent security requirements.

Ubuntu is a widely used operating system and cloud computing is one of the hottest topics in technology today. Come see how Ubuntu can be used in cloud computing from simple deployments in Amazon EC2 to complete datacenter private cloud configurations. We will explore uses of Ubuntu in cloud computing as well as run through several configuration options in this very informative session for all.

Ever wanted to get a bit more out of Memcached? Wondering how to set it up for redundancy or load check your server? This talk will go over all of the latest features to libmemcached. This will include information on how to setup replication, how to build a server with libmemcached-protocol, and how to pick the best hashing algorithm.

Google App Engine is an development & hosting platform that lets you build & deploy web applications on Google's high-traffic infrastructure. You only need to upload your code: no more worrying about machines, storage, scalability! This session introduces attendees to its architecture & various service APIs. Time-permitting we'll go through a simple example using Python.